GPT-4.1 Nano
Pricing & Specs
OpenAI · $0.1 input / $0.4 output per 1M tokens · 1.04758M context window
The per-token price never tells the full story. A typical task (1K input + 500 output tokens) on GPT-4.1 Nano costs about $0.0003 — roughly $0.30 per 1,000 runs. But if it needs 3x the tokens of a cheaper model to match quality on YOUR task, the economics flip. The only way to know is to benchmark it on your actual workload.
GPT-4.1 Nano API Pricing
| Tokens | Price |
|---|---|
| Input | $0.1 / 1M tokens |
| Output | $0.4 / 1M tokens |
| Cached input | $0.025 / 1M tokens |
Cached input tokens are billed when caching is enabled. Batch API pricing is available for this model at 50%.
What that means in practice
GPT-4.1 Nano Specs
| Spec | Value |
|---|---|
| Context window | 1.04758M tokens |
| Input modalities | text, image |
| Output modalities | text |
| Latency (measured by OpenMark) | ~328ms median response |
| Reasoning model | No |
| Tool / function calling | Yes |
| JSON mode | Yes |
| Streaming | Yes |
| Prompt caching | Yes |
| Batch API | Yes |
Capabilities
Notes
Shutdown October 23, 2026.
FAQ
How much does GPT-4.1 Nano cost?
GPT-4.1 Nano costs $0.1 per 1M input tokens and $0.4 per 1M output tokens ($0.025 per 1M cached input tokens).
What is GPT-4.1 Nano's context window?
GPT-4.1 Nano has a 1.04758M-token context window.
Can I test GPT-4.1 Nano on my own task?
Yes. OpenMark lets you benchmark GPT-4.1 Nano against 100+ models on your own task with real API calls — no API keys needed, free tier available.
Is GPT-4.1 Nano the right model for YOUR task?
Pricing tables can't answer that. Benchmark it against 100+ models
on your actual workload — real API calls, real costs. Free tier available.